A chromosome-scale genome assembly of the peanut beetle, Ulomoides dermestoides (Coleptera: Tenebrionidae).

Ulomoides dermestoides, a member of the Tenebrionidae family, is known by various common names such as Chinese beetle, Chinese weevil, peanut beetle, cancer beetle, or asthma beetle. Despite its origin in Asia, it has achieved global distribution owing to its perceived medicinal properties. In this study, we employed a combination of Illumina short-read, PacBio long-read, and high-throughput chromosome conformation capture (Hi-C) sequencing technologies to produce a high-quality, chromosome-scale genome assembly of U.

Detection of safety helmet and mask wearing using improved YOLOv5s.

With the advancement of society, ensuring the safety of personnel involved in municipal construction projects, particularly in the context of pandemic control measures, has become a matter of utmost importance. This paper introduces a security measure for municipal engineering, combining deep learning with object detection technology. It proposes a lightweight artificial intelligence (AI) detection method capable of simultaneously identifying individuals wearing masks and safety helmets.

Interplay between Intrachain and Interchain Excited States in Donor-Acceptor Copolymers.

Recently, rapid progress in the power conversion efficiency for organic solar cells (OSCs) is achieved due to the phenomenal development of the nonfullerene electron acceptors. In addition to the pairing electron donors, conjugated donor-acceptor copolymers are another key player in the high-efficiency OSCs. Here, the temporal evolution of excited states in a typical copolymer, PM6, was traced by transient absorption spectroscopy.